从界面到推理:映射生成人工智能功能对用户风险感知的影响

IF 7.6 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE
Haoyu Zhao , Zhengbiao Han , Shuqi Yin , Nan yang , Preben Hansen
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引用次数: 0

摘要

深入理解生成式人工智能(GAI)不仅对技术发展至关重要,而且对制定有效的风险应对策略也至关重要。然而,以往的研究主要集中在个体因素如何影响GAI风险感知,而技术功能和特性是用户关注GAI的根本原因尚不清楚。为了解决这一差距,目前的研究以可视性理论为基础,探讨了GAI的感知可视性如何影响用户在六个方面的风险感知:信息、安全、技术、社会、道德和法律。对1031个GAI用户进行了层次回归分析,以检查交互性、代理和安全能力对这些风险维度的影响。结果表明,在所有维度上,对带宽、同步性和透明度等能力的较高认知与较低的风险认知显著相关。值得注意的是,在大多数类别中,女性报告的感知风险高于男性,而年龄和GAI使用经验对这些感知没有显著影响。这些发现强调了在GAI系统设计中加强用户控制、透明度和隐私保护的重要性,以有效地减轻感知风险。本研究对GAI背景下的风险感知进行了多维度分析,为开发包容、透明和以用户为中心的人工智能系统提供了实践见解,从而为文献做出了贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
From interface to inference: mapping the impact of generative artificial intelligence affordances on user risk perception
A deep understanding of Generative Artificial Intelligence (GAI) is crucial not only for technological development but also for formulating effective risk response strategies. However, previous studies have mainly focused on how individual factors affect GAI risk perception while the technical functions and features that are the root causes of user concerns regarding GAI remain unclear. To address this gap, the current study, grounded in affordance theory, explored how perceived affordances of GAI influenced user risk perceptions across six dimensions: information, security, technical, social, ethical, and legal. A hierarchical regression analysis was conducted on a survey of 1,031 GAI users to examine the impact of interactivity, agency, and security affordances on these risk dimensions. The results indicate that higher perceptions of affordances such as bandwidth, synchrony, and transparency are significantly associated with lower risk perceptions across all dimensions. Notably, women reported higher perceived risks than men in most categories, whereas age and GAI usage experience did not significantly affect these perceptions. These findings highlight the importance of enhancing user control, transparency, and privacy protections in GAI system design to effectively mitigate perceived risks. This study contributes to the literature by providing a multidimensional analysis of risk perception in the context of GAI, offering practical insights for the development of inclusive, transparent, and user-centered artificial intelligence systems.
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来源期刊
Telematics and Informatics
Telematics and Informatics INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
17.00
自引率
4.70%
发文量
104
审稿时长
24 days
期刊介绍: Telematics and Informatics is an interdisciplinary journal that publishes cutting-edge theoretical and methodological research exploring the social, economic, geographic, political, and cultural impacts of digital technologies. It covers various application areas, such as smart cities, sensors, information fusion, digital society, IoT, cyber-physical technologies, privacy, knowledge management, distributed work, emergency response, mobile communications, health informatics, social media's psychosocial effects, ICT for sustainable development, blockchain, e-commerce, and e-government.
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